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Employment (3)

Fermi National Accelerator Laboratory: Batavia, Illinois, US

2024-12-01 to present | Scientist (Computational Science and Artificial Intelligence)
Employment
Source: Self-asserted source
Kevin Pedro

Fermi National Accelerator Laboratory: Batavia, IL, US

2019-09-01 to 2024-11-30 | Associate Scientist (Scientific Computing)
Employment
Source: Self-asserted source
Kevin Pedro

Fermi National Accelerator Laboratory: Batavia, Illinois, US

2015-02-02 to 2019-08-31 | Postdoctoral Research Associate (Particle Physics)
Employment
Source: Self-asserted source
Kevin Pedro

Education and qualifications (2)

University of Maryland: College Park, Maryland, US

2011-08-31 to 2014-12-20 | Ph.D. Physics (Physics)
Education
Source: Self-asserted source
Kevin Pedro

Rensselaer Polytechnic Institute: Troy, New York, US

2007-08-27 to 2011-05-28 | B.S. Physics (Physics)
Education
Source: Self-asserted source
Kevin Pedro

Works (50 of 55)

Items per page:
Page 1 of 2

Search for new physics with emerging jets in proton-proton collisions at $\sqrts$ = 13 TeV

2024-03 | Journal article
Contributors: Hayrapetyan, Aram; others
Source: Self-asserted source
Kevin Pedro

Search for soft unclustered energy patterns in proton-proton collisions at 13 TeV

2024-03 | Journal article
Contributors: Hayrapetyan, Aram; others
Source: Self-asserted source
Kevin Pedro

Portable acceleration of CMS computing workflows with coprocessors as a service

2024-02 | Journal article
Contributors: Hayrapetyan, Aram; others
Source: Self-asserted source
Kevin Pedro

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing

Comput. Softw. Big Sci.
2023 | Journal article
DOI: 10.1007/s41781-023-00101-0
Contributors: Cai, Tejin; Herner, Kenneth; Yang, Tingjun; Wang, Michael; Flechas, Maria Acosta; Harris, Philip; Holzman, Burt; Pedro, Kevin; Tran, Nhan
Source: Self-asserted source
Kevin Pedro

DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection

Mach. Learn. Sci. Tech.
2023 | Journal article
DOI: 10.1088/2632-2153/acca5f
Contributors: Ćiprijanović, A.; Lewis, A.; Pedro, K.; Madireddy, S.; Nord, B.; Perdue, G. N.; Wild, S. M.
Source: Self-asserted source
Kevin Pedro

Denoising Convolutional Networks to Accelerate Detector Simulation

J. Phys. Conf. Ser.
2023 | Journal article
DOI: 10.1088/1742-6596/2438/1/012079
Contributors: Banerjee, Sunanda; Rodriguez, Brian Cruz; Franklin, Lena; De La Cruz, Harold Guerrero; Leininger, Tara; Norberg, Scarlet; Pedro, Kevin; Rosado Trinidad, Angel; Ye, Yiheng
Source: Self-asserted source
Kevin Pedro

Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation

Phys. Rev. D
2023 | Journal article
DOI: 10.1103/PhysRevD.108.072014
Contributors: Amram, Oz; Pedro, Kevin
Source: Self-asserted source
Kevin Pedro

GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter

J. Phys. Conf. Ser.
2023 | Journal article
DOI: 10.1088/1742-6596/2438/1/012090
Contributors: Bhattacharya, Saptaparna; others
Source: Self-asserted source
Kevin Pedro

Optimal mass variables for semivisible jets

SciPost Phys. Core
2023 | Journal article
DOI: 10.21468/SciPostPhysCore.6.4.067
Contributors: Pedro, Kevin; Shyamsundar, Prasanth
Source: Self-asserted source
Kevin Pedro

Search for new physics in multijet events with at least one photon and large missing transverse momentum in proton-proton collisions at 13 TeV

JHEP
2023 | Journal article
DOI: 10.1007/JHEP10(2023)046
Contributors: Hayrapetyan, Aram; others
Source: Self-asserted source
Kevin Pedro

Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server

2023-12 | Journal article
Contributors: Savard, Claire; Manganelli, Nicholas; Holzman, Burt; Gray, Lindsey; Perloff, Alexx; Pedro, Kevin; Stenson, Kevin; Ulmer, Keith
Source: Self-asserted source
Kevin Pedro

Refining fast simulation using machine learning

26th International Conference on Computing in High Energy & Nuclear Physics
2023-09 | Conference paper
Contributors: Bein, Samuel; Connor, Patrick; Pedro, Kevin; Schleper, Peter; Wolf, Moritz
Source: Self-asserted source
Kevin Pedro

Applications of Deep Learning to physics workflows

2023-06 | Conference paper
Contributors: Agarwal, Manan; others
Source: Self-asserted source
Kevin Pedro

Autoencoders for semivisible jet detection

JHEP
2022 | Journal article
DOI: 10.1007/JHEP02(2022)074
Contributors: Canelli, Florencia; de Cosa, Annapaola; Pottier, Luc Le; Niedziela, Jeremi; Pedro, Kevin; Pierini, Maurizio
Source: Self-asserted source
Kevin Pedro

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification

Mach. Learn. Sci. Tech.
2022 | Journal article
DOI: 10.1088/2632-2153/ac7f1a
Contributors: Ćiprijanović, Aleksandra; Kafkes, Diana; Snyder, Gregory; Sánchez, F. Javier; Perdue, Gabriel Nathan; Pedro, Kevin; Nord, Brian; Madireddy, Sandeep; Wild, Stefan M.
Source: Self-asserted source
Kevin Pedro

Detector Simulation Challenges for Future Accelerator Experiments

Front. in Phys.
2022 | Journal article
DOI: 10.3389/fphy.2022.913510
Contributors: Apostolakis, John; others
Source: Self-asserted source
Kevin Pedro

Search for resonant production of strongly coupled dark matter in proton-proton collisions at 13 TeV

JHEP
2022 | Journal article
DOI: 10.1007/JHEP06(2022)156
Contributors: Tumasyan, Armen; others
Source: Self-asserted source
Kevin Pedro

Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report

Eur. Phys. J. C
2022 | Journal article
DOI: 10.1140/epjc/s10052-022-11048-8
Contributors: Albouy, Guillaume; others
Source: Self-asserted source
Kevin Pedro

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection

36th Conference on Neural Information Processing Systems: Workshop on Machine Learning and the Physical Sciences
2022-11 | Conference paper
Contributors: Ćiprijanović, Aleksandra; Lewis, Ashia; Pedro, Kevin; Madireddy, Sandeep; Nord, Brian; Perdue, Gabriel N.; Wild, Stefan M.
Source: Self-asserted source
Kevin Pedro

The Future of High Energy Physics Software and Computing

Snowmass 2021
2022-10 | Conference paper
Contributors: Elvira, V. Daniel; others
Source: Self-asserted source
Kevin Pedro

CompF2: Theoretical Calculations and Simulation Topical Group Report

2022-09 | Journal article
Contributors: Boyle, Peter; Pedro, Kevin; Qiang, Ji
Source: Self-asserted source
Kevin Pedro

Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Congressional Advocacy for Areas Beyond HEP Funding

2022-06 | Journal article
Contributors: Diurba, Richie; Fine, Rob; Gill, Mandeep; Newman, Harvey; Pedro, Kevin; Perloff, Alexx; Quinn, Breese; Suter, Louise; Westerdale, Shawn
Source: Self-asserted source
Kevin Pedro

Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Congressional Advocacy for HEP Funding (The ''DC Trip'')

2022-06 | Journal article
Contributors: Carneiro, Mateus; Diurba, Richie; Fine, Rob; Gill, Mandeep; Kaadze, Ketino; Newman, Harvey; Pedro, Kevin; Perloff, Alexx; Suter, Louise; Westerdale, Shawn
Source: Self-asserted source
Kevin Pedro

Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Non-Congressional Government Engagement

2022-06 | Journal article
Contributors: Diurba, Richie; Fine, Rob; Gill, Mandeep; Newman, Harvey; Pedro, Kevin; Perloff, Alexx; Suter, Louise
Source: Self-asserted source
Kevin Pedro

Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments

2022-03 | Journal article
Contributors: Banerjee, Sunanda; others
Source: Self-asserted source
Kevin Pedro

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation

Snowmass 2021
2022-03 | Conference paper
Contributors: Adelmann, Andreas; others
Source: Self-asserted source
Kevin Pedro

Physics Community Needs, Tools, and Resources for Machine Learning

Snowmass 2021
2022-03 | Conference paper
Contributors: Harris, Philip; others
Source: Self-asserted source
Kevin Pedro

HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis

LHCC Review of HL-LHC Computing
2022-02 | Conference paper
Contributors: Shadura, Oksana; Krikler, Benjamin; Stewart, Graeme A.; Pivarski, Jim; Rodrigues, Eduardo; Pedro, Kevin
Source: Self-asserted source
Kevin Pedro

GeantV: Results from the Prototype of Concurrent Vector Particle Transport Simulation in HEP

Comput. Softw. Big Sci.
2021 | Journal article
DOI: 10.1007/s41781-020-00048-6
Contributors: Amadio, G.; others
Source: Self-asserted source
Kevin Pedro

GPU coprocessors as a service for deep learning inference in high energy physics

Mach. Learn. Sci. Tech.
2021 | Journal article
DOI: 10.1088/2632-2153/abec21
Contributors: Krupa, Jeffrey; others
Source: Self-asserted source
Kevin Pedro

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

Front. Big Data
2021 | Journal article
DOI: 10.3389/fdata.2020.604083
Contributors: Wang, Michael; Yang, Tingjun; Acosta Flechas, Maria; Harris, Philip; Hawks, Benjamin; Holzman, Burt; Knoepfel, Kyle; Krupa, Jeffrey; Pedro, Kevin; Tran, Nhan
Source: Self-asserted source
Kevin Pedro

Robustness of deep learning algorithms in astronomy -- galaxy morphology studies

2021-11 | Conference paper
Contributors: Ćiprijanović, A.; Kafkes, D.; Perdue, G. N.; Pedro, K.; Snyder, G.; Sánchez, F. J.; Madireddy, S.; Wild, S. M.; Nord, B.
Source: Self-asserted source
Kevin Pedro

Coffea: Columnar Object Framework For Effective Analysis

EPJ Web Conf.
2020 | Journal article
DOI: 10.1051/epjconf/202024506012
Contributors: Smith, Nicholas; others; Doglioni, C.; Kim, D.; Stewart, G. A.; Silvestris, L.; Jackson, P.; Kamleh, W.
Source: Self-asserted source
Kevin Pedro

Integration and Performance of New Technologies in the CMS Simulation

EPJ Web Conf.
2020 | Journal article
DOI: 10.1051/epjconf/202024502020
Contributors: Pedro, Kevin; Doglioni, C.; Kim, D.; Stewart, G. A.; Silvestris, L.; Jackson, P.; Kamleh, W.
Source: Self-asserted source
Kevin Pedro

FPGAs-as-a-Service Toolkit (FaaST)

2020-10 | Conference paper
DOI: 10.1109/H2RC51942.2020.00010
Contributors: Rankin, Dylan Sheldon; others
Source: Self-asserted source
Kevin Pedro

HL-LHC Computing Review: Common Tools and Community Software

Snowmass 2021
2020-08 | Conference paper
DOI: 10.5281/zenodo.4009114
Contributors: Aarrestad, Thea; others; Canal, Philippe; others
Source: Self-asserted source
Kevin Pedro

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

33rd Annual Conference on Neural Information Processing Systems
2020-03 | Conference paper
Contributors: Ju, Xiangyang; others
Source: Self-asserted source
Kevin Pedro

A Roadmap for HEP Software and Computing R&D for the 2020s

Comput. Softw. Big Sci.
2019 | Journal article
DOI: 10.1007/s41781-018-0018-8
Contributors: Albrecht, Johannes; others
Source: Self-asserted source
Kevin Pedro

Addendum to the report on the physics at the HL-LHC, and perspectives for the HE-LHC: Collection of notes from ATLAS and CMS

CERN Yellow Rep. Monogr.
2019 | Journal article
DOI: 10.23731/CYRM-2019-007.Addendum
Source: Self-asserted source
Kevin Pedro

Current and future performance of the CMS simulation

EPJ Web Conf.
2019 | Journal article
DOI: 10.1051/epjconf/201921402036
Contributors: Pedro, Kevin; Forti, A.; Betev, L.; Litmaath, M.; Smirnova, O.; Hristov, P.
Source: Self-asserted source
Kevin Pedro

FPGA-accelerated machine learning inference as a service for particle physics computing

Comput. Softw. Big Sci.
2019 | Journal article
DOI: 10.1007/s41781-019-0027-2
Contributors: Duarte, Javier; others
Source: Self-asserted source
Kevin Pedro

Search for supersymmetry in events with a photon, jets, b-jets, and missing transverse momentum in proton-proton collisions at 13 TeV

Eur. Phys. J. C
2019 | Journal article
DOI: 10.1140/epjc/s10052-019-6926-x
Contributors: Sirunyan, Albert M; others
Source: Self-asserted source
Kevin Pedro

Search for supersymmetry in proton-proton collisions at 13 TeV in final states with jets and missing transverse momentum

JHEP
2019 | Journal article
DOI: 10.1007/JHEP10(2019)244
Contributors: Collaboration, The Cms; others
Source: Self-asserted source
Kevin Pedro

Searches for new physics with unconventional signatures at ATLAS and CMS

54th Rencontres de Moriond on QCD and High Energy Interactions
2019 | Conference paper
Contributors: Pedro, Kevin
Source: Self-asserted source
Kevin Pedro

HEP Software Foundation Community White Paper Working Group - Detector Simulation

2018-03 | Journal article
Contributors: Apostolakis, J; others; Elvira, V; Harvey, J
Source: Self-asserted source
Kevin Pedro

Search for supersymmetry in multijet events with missing transverse momentum in proton-proton collisions at 13 TeV

Phys. Rev. D
2017 | Journal article
DOI: 10.1103/PhysRevD.96.032003
Contributors: Sirunyan, Albert M; others
Source: Self-asserted source
Kevin Pedro

Dose rate effects in the radiation damage of the plastic scintillators of the CMS Hadron Endcap Calorimeter

JINST
2016 | Journal article
DOI: 10.1088/1748-0221/11/10/T10004
Contributors: Khachatryan, V.; others
Source: Self-asserted source
Kevin Pedro

Further SUSY Simplified Model interpretations for Moriond 2016

2016 | Journal article
Source: Self-asserted source
Kevin Pedro

Liquid scintillator tiles for calorimetry

JINST
2016 | Journal article
DOI: 10.1088/1748-0221/11/11/P11018
Contributors: Amouzegar, M.; others
Source: Self-asserted source
Kevin Pedro

Search for supersymmetry in the multijet and missing transverse momentum final state in pp collisions at 13 TeV

Phys. Lett. B
2016 | Journal article
DOI: 10.1016/j.physletb.2016.05.002
Contributors: Khachatryan, Vardan; others
Source: Self-asserted source
Kevin Pedro
Items per page:
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Peer review (3 reviews for 2 publications/grants)

Review activity for Computing and software for big science. (1)
Review activity for Physics letters. (2)
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